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In general, VMs provide an environment with more resources than most applications need. Run docker --version and ensure that you have a supported version of Docker:.

Run docker info or docker version without -- to view even more details about your docker installation:. To avoid permission errors and the use of sudo , add your user to the docker group.

Test that your installation works by running the simple Docker image, hello-world:. List the hello-world image that was downloaded to your machine:.

List the hello-world container spawned by the image which exits after displaying its message. If it were still running, you would not need the --all option:.

With Docker, scaling your application is a matter of spinning up new executables, not running heavy VM hosts. Get Started, Part 1: Orientation and setup Estimated reading time: Deploy your app Welcome!

The Docker Get Started Tutorial teaches you how to: Commercialization requires a number of steps to ensure that your devices, wherever they are in the world, can receive updates, are as secure as possible, and are compliant.

SoCs and Custom Boards. Creating test and retail images. With the Windows 10 IoT Core manufacturing guide, learn how to create test images - great for trying out new ideas and designs - and retail images - for more final device designs.

Windows 10 IoT Core feature list. Learn about the different test and retail features as defined by Microsoft for your Windows 10 IoT Core images.

Installing and servicing apps. Our new feedback system is built on GitHub Issues. Read about this change in our blog post. What is Windows 10 IoT?

Bring a device to market Commercialization, or bringing a device to market, is a much more advanced process that involves more moving parts and people than just prototyping a device on your own time.

For example, enter the following expression to graph the per-second rate of chunks being created in the self-scraped Prometheus:. The Go client library includes an example which exports fictional RPC latencies for three services with different latency distributions.

You should now have example targets listening on http: Now we will configure Prometheus to scrape these new targets.

Let's group all three endpoints into one job called example-random. However, imagine that the first two endpoints are production targets, while the third one represents a canary instance.

To model this in Prometheus, we can add several groups of endpoints to a single job, adding extra labels to each group of targets.

Though not a problem in our example, queries that aggregate over thousands of time series can get slow when computed ad-hoc.

To make this more efficient, Prometheus allows you to prerecord expressions into completely new persisted time series via configured recording rules.